Evidence mapPaperPMID 40401622Full record

ArticleJournal of the American Heart Association2025

Comparison of New-Onset Peripheral Artery Disease in Patients With Type 2 Diabetes Exposed to Sodium-Glucose Cotransporter-2 Inhibitors, Dipeptidyl Peptidase-4 Inhibitors, or Glucagon-Like Peptide-1 Agonists: A Population-Based Cohort Study.

Oscar Hou-In Chou, Zhiyao Luo, Cheuk To Skylar Chung, Jeffrey Chan, Huixian Li, Ishan Lakhani, Sharen Lee, Dawnie Ho Hei Lau, Qingpeng Zhang, Tong Liu and 6 more

Abstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Oscar Hou-In ChouDiabetes Research Unit Cardiovascular Analytics Group Hong Kong China.
Zhiyao LuoInstitute of Biomedical Engineering, Department of Engineering Science University of Oxford Oxford UK.ORCID 0000-0003-0015-2023
Cheuk To Skylar ChungDiabetes Research Unit Cardiovascular Analytics Group Hong Kong China.ORCID 0000-0002-0420-5359
Jeffrey ChanDiabetes Research Unit Cardiovascular Analytics Group Hong Kong China.ORCID 0000-0003-0231-2393
Huixian LiSchool of Life Sciences Chinese University of Hong Kong Hong Kong China.
Ishan LakhaniDiabetes Research Unit Cardiovascular Analytics Group Hong Kong China.ORCID 0000-0001-7566-9700
Sharen LeeDiabetes Research Unit Cardiovascular Analytics Group Hong Kong China.ORCID 0000-0002-2401-2837
Dawnie Ho Hei LauDiabetes Research Unit Cardiovascular Analytics Group Hong Kong China.
Qingpeng ZhangMusketeers Foundation Institute of Data Science and Department of Pharmacology and Pharmacy, LKS Faculty of Medicine The University of Hong Kong Hong Kong China.ORCID 0000-0002-6819-0686
Tong LiuTianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology Second Hospital of Tianjin Medical University Tianjin China.ORCID 0000-0003-0482-0738
Wing Tak WongSchool of Life Sciences Chinese University of Hong Kong Hong Kong China.ORCID 0000-0002-4514-3780
Bernard Man Yung CheungDivision of Clinical Pharmacology and Therapeutics, Department of Medicine, Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong China.ORCID 0000-0001-9106-7363
Gregory Y H LipLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart & Chest Hospital Liverpool UK.ORCID 0000-0002-7566-1626
Fung Ping LeungSchool of Life Sciences Chinese University of Hong Kong Hong Kong China.
Gary TseDiabetes Research Unit Cardiovascular Analytics Group Hong Kong China.ORCID 0000-0001-5510-1253
Jiandong ZhouDepartment of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine The University of Hong Kong Hong Kong China.ORCID 0000-0003-3780-9033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSodium-glucose cotransporter-2 inhibitors (SGLT2Is), dipeptidyl peptidase-4 inhibitors (DPP4Is), and glucagon-like peptide-1 receptor agonists have been associated with improved cardiovascular outcomes and prognosis. The comparative risks of new-onset peripheral artery disease (PAD) between these medications remain unknown. This real-world study compared the risks of PAD in patients exposed to SGLT2I and DPP4I. METHODS AND

resultsThis was a retrospective population-based cohort study of patients with type 2 diabetes on either an SGLT2I or a DPP4I between January 1, 2015, and December 31, 2015, using a territory-wide database from Hong Kong. The primary outcome was new-onset PAD. The secondary outcomes were cardiovascular hospitalization, cardiovascular death, and all-cause death. Propensity score matching (1:1 ratio) using the nearest neighbor search was performed. Multivariable Cox regression with time-weighted variables was used to identify significant associations. A 3-arm analysis including the glucagon-like peptide-1 receptor agonist cohort was conducted. This cohort included 75 470 patients with type 2 diabetes (median age, 62.3±12.8 years; 55.79% men). The SGLT2I and DPP4I groups consisted of 28 753 patients and 46 717 patients, respectively. After matching, 186 and 256 patients had PAD in the SGLT2I and DPP4I groups, respectively, over a median follow-up of 5.6 years. SGLT2I use was associated with lower risks of PAD (hazard ratio [HR], 0.79 [95% CI, 0.66-0.93]) compared with DPP4I use after adjusting for demographics, comorbidities, medications, renal function, and glycemic tests. The association remained consistent regardless of sex, age, and other metabolic diseases. In the 3-arm analysis, the risk of PAD was not statistically different between SGLT2Is and glucagon-like peptide-1 receptor agonists (HR, 1.18 [95% CI, 0.52-2.68]). The results remained consistent in the competing risk and the sensitivity analyses.

conclusionsSGLT2I use among patients with type 2 diabetes was associated with lower risks of new-onset PAD and PAD-related outcomes when compared with DPP4Is after adjustments.

Indexed as

Diabetes Mellitus, Type 2Dipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 Receptor AgonistsPeripheral Arterial DiseaseSodium-Glucose Transporter 2 InhibitorsAgedFemaleHong KongHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsDipeptidyl-Peptidase IV InhibitorsGlucagon-Like Peptide-1 Receptor AgonistsSodium-Glucose Transporter 2 Inhibitorsamputationcardiovascular diseasedipeptidyl peptidase‐4 inhibitorsglucagon‐like peptide‐1 receptor agonistsperipheral artery diseasesodium‐glucose cotransporter‐2 inhibitors

Identifiers

PMID40401622
PMCPMC12229098

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.